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Chain of magnetic tunnel junctions as a spintronic memristor.

Authors :
Raymenants, Eline
Vaysset, Adrien
Wan, Danny
Manfrini, Mauricio
Zografos, Odysseas
Bultynck, Olivier
Doevenspeck, Jonas
Heyns, Marc
Radu, Iuliana P.
Devolder, Thibaut
Source :
Journal of Applied Physics. 2018, Vol. 124 Issue 15, pN.PAG-N.PAG. 6p. 7 Graphs.
Publication Year :
2018

Abstract

In the context of neuromorphic computation, spintronic memristors are investigated for their use as synaptic weights. In this paper, we propose and experimentally demonstrate a resistive synaptic device based on ten magnetic tunnel junctions (MTJs) connected in a serial configuration. Our device exhibits multiple resistance levels that support its use as a synaptic element. It allows for two operating knobs: external magnetic field and voltage pulses (Spin-Transfer Torque). Moreover, it can be operated in different ways. When varying continuously the amplitude of the voltage pulse and/or the magnetic field, eleven resistance states can be reached. In contrast, if the initial state of the chain is reset between every step, a very large number of levels are reached. Ideally, a total of 2 N resistance levels could be accessible. This coincides well with the desired analog-like behavior in ideal memristors. Since this device consists of a scalable number of N MTJs, and MTJ technology is continuously optimized and improved, the proposed memristor shows promise as a scalable synapse solution for neuromorphic hardware implementations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00218979
Volume :
124
Issue :
15
Database :
Academic Search Index
Journal :
Journal of Applied Physics
Publication Type :
Academic Journal
Accession number :
132514042
Full Text :
https://doi.org/10.1063/1.5042431